A Survey of Errors in GTFS Static Feeds from the United States

Saipraneeth Devunuri, Lewis Lehe

Research output: Contribution to journalArticlepeer-review

Abstract

This study surveys the errors in General Transit Feed Specification (GTFS) Static (Schedule) data for 632 US transit feeds. We do so using the Canonical GTFS Schedule Validator tool provided by Mobility Data, which checks feeds against GTFS standards. About 21% of GTFS feeds have at least one error. We explain what the most common errors are and provide examples. Errors related to the optional shape_dist_traveled field account for the majority of errors. Fares account for a second cluster of errors. Manual investigation can reveal errors not captured programmatically.

Original languageEnglish (US)
JournalTransport Findings
Volume2024
DOIs
StatePublished - 2024
Externally publishedYes

Keywords

  • data quality
  • GTFS
  • open data
  • public transit
  • public transport

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Transportation

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